Heidi J. Larson
Impact in
- Health top 0.01%
- Vaccine Coverage and Hesitancy
- Modeling and Simulation top 0.05%
- COVID-19 epidemiological studies
Papers in
- Health 161
- Vaccine Coverage and Hesitancy 158
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- SARS-CoV-2 and COVID-19 Research 30
- Viral Infections and Outbreaks Research 24
- Co-authors
- Pauline Paterson (28 shared papers)Caitlin Jarrett (9 shared papers)Alexandre de Figueiredo (15 shared papers)Elisabeth Eckersberger (4 shared papers)Emilie Karafillakis (17 shared papers)Scott C. Ratzan (13 shared papers)D. M. Smith (5 shared papers)Rose Wilson (8 shared papers)
- Journals
- Vaccine (40 papers)The Lancet (15 papers)Human Vaccines & Immunotherapeutics (13 papers)Vaccines (10 papers)Nature Medicine (9 papers)
- Partner nations
- United KingdomUnited StatesBelgium
In The Last Decade
Heidi J. Larson
235 papers receiving 19.8k citations
Heidi J. Larson's Hit Papers
Peers
Comparison fields: 5 of 191
- Health 12.7k
- Modeling and Simulation 2.3k
- Infectious Diseases 4.8k
- Epidemiology 3.3k
- Sociology and Political Science 4.7k
Countries citing papers authored by Heidi J. Larson
This map shows the geographic impact of Heidi J. Larson's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Heidi J. Larson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heidi J. Larson more than expected).
Fields of papers citing papers by Heidi J. Larson
This network shows the impact of papers produced by Heidi J. Larson. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Heidi J. Larson. The network helps show where Heidi J. Larson may publish in the future.
Co-authors
The 25 scholars most cited alongside Heidi J. Larson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 249 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A global survey of potential acceptance of a COVID-19 vaccine Hit paper breakdown → | 2020 | 2051 |
| 2 | Understanding vaccine hesitancy around vaccines and vaccination from a global perspective: A systematic review of published literature, 2007–2012 Hit paper breakdown → | 2014 | 1579 |
| 3 | Measuring the impact of COVID-19 vaccine misinformation on vaccination intent in the UK and USA Hit paper breakdown → | 2021 | 1151 |
| 4 | Challenges in ensuring global access to COVID-19 vaccines: production, affordability, allocation, and deployment Hit paper breakdown → | 2021 | 838 |
| 5 | The State of Vaccine Confidence 2016: Global Insights Through a 67-Country Survey Hit paper breakdown → | 2016 | 818 |
| 6 | Strategies for addressing vaccine hesitancy – A systematic review Hit paper breakdown → | 2015 | 792 |
| 7 | Mapping global trends in vaccine confidence and investigating barriers to vaccine uptake: a large-scale retrospective temporal modelling study Hit paper breakdown → | 2020 | 718 |
| 8 | The pandemic of social media panic travels faster than the COVID-19 outbreak Hit paper breakdown → | 2020 | 705 |
| 9 | Measuring vaccine hesitancy: The development of a survey tool Hit paper breakdown → | 2015 | 695 |
| 10 | Vaccine hesitancy and healthcare providers Hit paper breakdown → | 2016 | 620 |
| 11 | Addressing the vaccine confidence gap Hit paper breakdown → | 2011 | 611 |
| 12 | Measuring trust in vaccination: A systematic review Hit paper breakdown → | 2018 | 509 |
| 13 | EPIDEMIOLOGY OF SYMPTOMATIC URINARY TRACT INFECTION IN CHILDHOOD Hit paper breakdown → | 1974 | 406 |
| 14 | Vaccine hesitancy among healthcare workers in Europe: A qualitative study Hit paper breakdown → | 2016 | 324 |
| 15 | The Vaccine-Hesitant Moment Hit paper breakdown → | 2022 | 289 |
| 16 | 2015 | 286 | |
| 17 | 2015 | 259 | |
| 18 | A survey of COVID-19 vaccine acceptance across 23 countries in 2022 Hit paper breakdown → | 2023 | 239 |
| 19 | The biggest pandemic risk? Viral misinformation Hit paper breakdown → | 2018 | 233 |
| 20 | HPV vaccination in a context of public mistrust and uncertainty: a systematic literature review of determinants of HPV vaccine hesitancy in Europe Hit paper breakdown → | 2019 | 226 |
About Heidi J. Larson
Heidi J. Larson is a scholar working on Health, Infectious Diseases, Epidemiology, Sociology and Political Science and Public Health, Environmental and Occupational Health, having authored 249 papers that have together received 20.4k indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (158 papers), Misinformation and Its Impacts (40 papers), Influenza Virus Research Studies (33 papers), SARS-CoV-2 and COVID-19 Research (30 papers), Viral Infections and Outbreaks Research (24 papers), Cervical Cancer and HPV Research (16 papers), COVID-19 epidemiological studies (15 papers) and Hepatitis B Virus Studies (12 papers). The work is most often cited by research in Health (12.7k citations), Modeling and Simulation (2.3k citations), Infectious Diseases (4.8k citations), Epidemiology (3.3k citations) and Sociology and Political Science (4.7k citations). Heidi J. Larson has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include Pauline Paterson, Caitlin Jarrett, Alexandre de Figueiredo, Elisabeth Eckersberger, Emilie Karafillakis, Scott C. Ratzan, D. M. Smith, Rose Wilson, Lawrence O. Gostin and Ayman El-Mohandes. Their work appears in journals such as Vaccine, The Lancet, Human Vaccines & Immunotherapeutics, Vaccines and Nature Medicine.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.